Author

Lorenzo Barberis

Stanford University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aigerim RymbekovaiD· 1 shared Alexander G. IoannidisiD· 1 shared Cayetana López· 1 shared Daniel Mas MontserratiD· 1 shared Emily R. BartusiakiD· 1 shared Julia Gimbernat-Mayol· 1 shared Míriam BarrabésiD· 1 shared Xavier Giró-i-NietoiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperGenomics

Aigerim RymbekovaORCID

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1 paper

Recent·Most cited

Predicting Dog Phenotypes from Genotypes

Emily R. Bartusiak, Míriam Barrabés, Aigerim Rymbekova, Julia Gimbernat-Mayol, Cayetana López, Lorenzo Barberis, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis

This paper predicts dog phenotypes (breed, height, weight) from genotypes using linear and non-linear methods, showing that linear methods outperform non-linear for breed classification but not for height and weight regression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · Jul 11, 2022Peer-reviewedGenomics